Emerging Artificial Societies Through Learning
| Autor: | Gilbert, N., Matthijs den Besten, Bontovics, A., Craenen, B. G. W., Divina, F., Eiben, A. E., Griffioen, R., Hévízi, G., Lõrincz, A., Paechter, B., Schuster, S., Schut, M. C., Tzolov, C., Vogt, P., Yang, L. |
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| Přispěvatelé: | Artificial intelligence, Computational Intelligence, Social AI |
| Jazyk: | angličtina |
| Rok vydání: | 2006 |
| Předmět: | |
| Zdroj: | Gilbert, N, Besten, M, Bontovics, A, Craenen, B G W, Divina, F, Eiben, A E, Griffioen, A R, Hevizi, G, Lorincz, A, Paechter, B, Schuster, S, Schut, M C, Tzolov, C, Vogt, P A & Yang, L 2006, ' Emerging Artificial Societies Through Learning ', Journal of Artificial Societies and Social Simulation, vol. 9, no. 2 . Scopus-Elsevier Journal of Artificial Societies and Social Simulation, 9(2). University of Surrey Gilbert, N, den Besten, M, Bontovics, A, Craenen, B G W, Divina, F, Eiben, A E, Griffioen, R, Hévízi, G, Lõrincz, A, Paechter, B, Schuster, S, Schut, M C, Tzolov, C, Vogt, P & Yang, L 2006, ' Emerging artificial societies through learning ', JASSS, vol. 9, no. 2, pp. 135-154 . |
| ISSN: | 1460-7425 |
| Popis: | The NewTies project is implementing a simulation in which societies of agents are expected to de-velop autonomously as a result of individual, population and social learning. These societies are expected to be able to solve environmental challenges by acting collectively. The challenges are in-tended to be analogous to those faced by early, simple, small-scale human societies. This report on work in progress outlines the major features of the system as it is currently conceived within the project, including the design of the agents, the environment, the mechanism for the evolution of language and the peer-to-peer infrastructure on which the simulation runs. © Copyright JASSS. |
| Databáze: | OpenAIRE |
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